Quantitative Finance Analyst at Bank of America

Jersey City, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

31 Jan, 26

Salary

153300.0

Posted On

02 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Critical Thinking, Quantitative Development, Risk Analytics, Risk Modeling, Technical Documentation, Adaptability, Collaboration, Problem Solving, Risk Management, Test Engineering, Data Modeling, Data and Trend Analysis, Process Performance Measurement, Research, Written Communications

Industry

Banking

Description

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products. Responsibilities: Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers Supports the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches As a Quantitative Finance Analyst on SERA’s Production and Operations team, your responsibilities may include: Write Python and/or PySpark code to automate production processes of several risk and loss measurement statistical models. Example of model execution production processes are error attribution, scenario shock, sensitivity, result publication and reporting. Work closely with application users, model developers, technology and other business partners to understand and document requirements of production processes to be implemented. Work with technology teams to integrate Python solution into existing in-house generic platform for process execution Ensure that software is developed to meet functional, non-functional, and compliance requirements. Write complex SQL queries to validate production results, integrate results with existing downstream applications and produce reports in format expected by end users. Candidate will have the opportunity to collaborate with GRA and Technology teams, leverage software engineering and model development skills, and gain expertise on how meet business and regulatory requirements in a fast-paced environment. This role requires a strong technical acumen, encompassing data analysis, computer programming, organization, good verbal and written communication, and software design capabilities. You will be at the forefront of Python and PySpark software development, and interface with Hadoop, HIVE and Exadata for model data input and output integration. Minimum Education Requirement: Master’s degree in related field or equivalent work experience Skills: Critical Thinking Quantitative Development Risk Analytics Risk Modeling Technical Documentation Adaptability Collaboration Problem Solving Risk Management Test Engineering Data Modeling Data and Trend Analysis Process Performance Measurement Research Written Communications Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NJ - Jersey City - 525 Washington Blvd (NJ2525) Pay and benefits information Pay range $89,800.00 - $153,300.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Getting started Regardless of the position you are interested in, the starting points to building your resume are the same: 1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2. Think about why you can do the job and make a list of your skills that are relative to the job. 3. Identify experiences or accomplishments that show your proficiency in the skills required for the job. 4. Summarize your abilities, accomplishments and skills into a brief, concise document. Considerations when writing a resume • Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active in your wording. • Do emphasize what you have done clearly and concretely. • Do be neat and well organized. • Do have others proofread and critique your resume. Spell check. Make it error free. • Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always tell the truth about yourself in the most flattering light. • Don't include salary history or requirements. • Don't include references. • Don't include accomplishments that do not support your professional goals. • Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) • Don't use italics, underlining, shadows or other fancy treatments. Seven steps to a successful interview 1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2. Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3. Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4. Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down. 5. Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6. Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7. Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage. Pay Transparency - https://careers.bankofamerica.com/en-us/pay-transparency Privacy Statement - https://careers.bankofamerica.com/en-us/privacy-notice

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Responsibilities

This role is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, and systems approaches, as well as performing end-to-end market risk stress testing.